Foyzur Rahman

1.7k citations
15 papers · 1.2k indexed · h-index 14
Topics
Software Engineering Research (13 papers)Software Reliability and Analysis Research (11 papers)Software Testing and Debugging Techniques (5 papers)
Journals
Empirical Software EngineeringAutomated Software EngineeringZurich Open Repository and Archive (University of Zurich)

In The Last Decade

Foyzur Rahman

14 papers receiving 1.2k citations

Peers

Foyzur Rahman
Comparison fields: 5 of 38
  • Information Systems 1.2k
  • Software 890
  • Computer Networks and Communications 379
  • Computer Science Applications 153
  • Signal Processing 150
Replace Kim Herzig with:
Kim Herzig United States
Emanuel Giger Switzerland
Elmar Juergens Germany
Raymond P.L. Buse United States
István Siket Hungary
Mel Ó Cinnéide Ireland
J. David Morgenthaler United States
Yoshiki Higo Japan
Florian Deissenboeck Germany
Foyzur Rahman relative to Kim Herzig United States Kim Herzig's profile →
Citations per field
00.5×1.5×
Kim Herzig · 1×
Citations per year

Countries citing papers authored by Foyzur Rahman

Since Specialization
Citations

This map shows the geographic impact of Foyzur Rahman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Foyzur Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Foyzur Rahman more than expected).

Fields of papers citing papers by Foyzur Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Foyzur Rahman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Foyzur Rahman. The network helps show where Foyzur Rahman may publish in the future.

Co-authorship network of co-authors of Foyzur Rahman

This figure shows the co-authorship network connecting the top 25 collaborators of Foyzur Rahman. A scholar is included among the top collaborators of Foyzur Rahman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Foyzur Rahman. Foyzur Rahman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 19
2 42
3 84
4 86
5 181
6 45
7 15
8 198
9 88
10 155
11 73
12 70
13 25
14 159
15 1

About Foyzur Rahman

Foyzur Rahman is a scholar working on Software, Information Systems and Signal Processing, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Software Engineering Research (13 papers), Software Reliability and Analysis Research (11 papers) and Software Testing and Debugging Techniques (5 papers). The work is most often cited by research in Software (890 citations), Information Systems (1.2k citations) and Computer Science Applications (153 citations). Foyzur Rahman has collaborated with scholars based in United States, Singapore and Switzerland. Frequent co-authors include Prémkumar Dévanbu, Daryl Posnett, Christian Bird, Abraham Bernstein, Earl T. Barr, Israel Herraiz, Abram Hindle, David Lo, Lucia and Lingxiao Jiang. Their work appears in journals such as Empirical Software Engineering, Automated Software Engineering and Zurich Open Repository and Archive (University of Zurich).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026